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11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022

作者： Rando Setiawan, Noor Akhmad Permanasari, Adhistya Erna Rulaningtyas, Riries Suksmono, Andriyan Bayu Sitanggang, Imas Sukaesih Universitas Gadjah Mada Dept. of Electrical and Information Engineering Yogyakarta Indonesia Biomedical Engineering Program Dept. of Physics Universitas Airlangga Surabaya Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia Ipb University Department of Computer Science Bogor Indonesia

ISBN: (纸本)9781665460309

Cervical cancer is one of the deadliest diseases in women. One of the cervical cancer screening methods is pap smear method. However, using a pap smear method to detect cervical cancer takes a long time for a pathologist to diagnose. Hence, a rapid development of medical computerization for early detection to get the results quickly is needed. This paper proposes synthetic data augmentation by using Deep Convolutional Generative Adversarial Network (DCGAN) to increase number of pap smear samples in dataset. Gray Level Co-occurrence Matrix (GLCM) is employed to extract features from dataset. Classification of 3 classes which are Adenocarcinoma, High-Grade Squamous Intraepithelial Lesion (HSIL), and Squamous Cell Carcinoma (SCC) is conducted using Extreme Learning Machine (ELM). The result shows that the addition of synthetic data improves the performance of ELM with the accuracy of 90%. This accuracy is better than the accuracy of ELM using only the original dataset which is 85%. © 2022 IEEE.

关键词： Generative adversarial networks

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Development of Microneedle Patches for Insulin Delivery 3

Development of Microneedle Patches for Insulin Delivery

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3rd IEEE Eurasia Conference on biomedical engineering, Healthcare and Sustainability, ECBIOS 2021

作者： Sakpatitha, Janistar Damrongplasit, Nattapol Pimpin, Alongkorn Palaga, Tanapat Srituravanich, Werayut Biomedical Engineering Program Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Mechanical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Microbiology Faculty of Science Chulalongkorn University Bangkok Thailand Biomedical Engineering Research Center Faculty of Engineering Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9781728193045

Diabetes is a leading cause of disability and death. Moreover, it has a huge social and economic impact. Patients with diabetes have a better quality of life when they receive insulin properly than without it. However, some diabetic patients have trypanophobia, so they often avoid insulin injections resulting in life-threatening conditions. Therefore, this study aims to develop microneedle patches for transdermal insulin delivery to reduce pain from insulin injection and extend the shelf-life of insulin stored at room temperature. The insulin microneedle patches were fabricated by coating a mixture of insulin and polyvinyl alcohol (PVA) on plastic microneedle patches. A histological section showed that the microneedles had excellent mechanical strength to penetrate porcine cadaver skin. The stability test using the insulin Elisa kit indicated good stability of the insulin/PVA coated on the microneedle patches stored at room temperature whereas its biological activity was higher than 90% after 30 days of storage. © 2021 ECBIOS 2021. All rights reserved.

关键词： Insulin

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Spatiotemporal Properties of Stimulus-evoked Responses in Mice Following Single Whisker Stimulation

Spatiotemporal Properties of Stimulus-evoked Responses in Mi...

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Optics and the Brain, BRAIN 2024 - Part of Optica Biophotonics Congress: biomedical Optics

作者： Schloss, Kaelyn H. Wang, Xiaodan Padawer-Curry, Jonah A. Bice, Annie R. Bauer, Adam Q. Department of Biomedical Engineering Washington University in St. Louis 1 Brookings Drive St. LouisMO United States Imaging Science Program Washington University in St. Louis 1 Brookings Drive St. LouisMO United States Department of Radiology Washington University in St. Louis 1 Brookings Drive St. LouisMO United States

We used novel peripheral stimulation methods to achieve highly precise single whisker targeting to examine spatiotemporal relationships between stimulus-evoked neuronal, metabolic, and hemodynamic activity in awake mi... 详细信息

ISBN: (纸本)9781957171340

关键词： Mammals

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Fucoxanthin induces human melanoma cytotoxicity by thwarting the JAK2/STAT3/BCL-xL signaling axis

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Environmental Toxicology 2024年第6期39卷 3356-3366页

作者： Kuo, Min-Yung Dai, Wen-Chyi Chang, Jie-Li Chang, Jo-Shu Lee, Tse-Min Chang, Chia-Che Pediatric Surgery Division Department of Surgery Tungs' Taichung MetroHarbor Hospital Taichung Taiwan Doctoral Program in Biotechnology Industrial Innovation and Management National Chung Hsing University Taichung Taiwan Taichung Municipal Taichung First Senior High School Taichung Taiwan Department of Chemical and Materials Engineering Research Center for Smart Sustainable Circular Economy Tunghai University Taichung Taiwan Department of Life Sciences National Chung Hsing University Taichung Taiwan Department of Marine Biotechnology and Resources National Sun Yat-sen University Kaohsiung Taiwan Graduate Institute of Biomedical Sciences Master Program in Precision Health Doctoral Program in Translational Medicine Rong Hsing Research Center for Translational Medicine The iEGG and Animal Biotechnology Research Center National Chung Hsing University Taichung Taiwan Department of Medical Laboratory Science and Biotechnology Asia University Taichung Taiwan Department of Medical Research China Medical University Hospital Taichung Taiwan Traditional Herbal Medicine Research Center Taipei Medical University Hospital Taipei Taiwan

Melanoma is the most lethal skin malignancy. Fucoxanthin is a marine carotenoid with significant anticancer activities. Intriguingly, Fucoxanthin's impact on human melanoma remains elusive. Signal Transducer and Activator of Transcription 3 (STAT3) represents a promising target in cancer therapy due to its persistent activation in various cancers, including melanoma. Herein, we revealed that Fucoxanthin is cytotoxic to human melanoma cell lines A2758 and A375 while showing limited cytotoxicity to normal human melanocytes. Apoptosis is a primary reason for Fucoxanthin's melanoma cytotoxicity, as the pan-caspase inhibitor z-VAD-fmk drastically abrogated Fucoxanthin-elicited clonogenicity blockage. Besides, Fucoxanthin downregulated tyrosine 705-phosphorylated STAT3 (p-STAT3 (Y705)), either inherently present in melanoma cells or inducible by interleukin 6 (IL-6) stimulation. Notably, ectopic expression of STAT3-C, a dominant-active STAT3 mutant, abolished Fucoxanthin-elicited melanoma cell apoptosis and clonogenicity inhibition, supporting the pivotal role of STAT3 blockage in Fucoxanthin's melanoma cytotoxicity. Moreover, Fucoxanthin lowered BCL-xL levels by blocking STAT3 activation, while ectopic BCL-xL expression rescued melanoma cells from Fucoxanthin-induced killing. Lastly, Fucoxanthin was found to diminish the levels of JAK2 with dual phosphorylation at tyrosine residues 1007 and 1008 in melanoma cells, suggesting that Fucoxanthin impairs STAT3 signaling by blocking JAK2 activation. Collectively, we present the first evidence that Fucoxanthin is cytotoxic selectively against human melanoma cells while sparing normal melanocytes. Mechanistically, Fucoxanthin targets the JAK2/STAT3/BCL-xL antiapoptotic axis to provoke melanoma cell death. This discovery implicates the potential application of Fucoxanthin as a chemopreventive or therapeutic strategy for melanoma management. © 2024 Wiley Periodicals LLC.

关键词： Carotenoids

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Self-Healable Sandfish Scale-Inspired Scalable Triboelectric Layer for Hybrid Energy Harvesting in Desert Environment

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Small 2024年第4期21卷 e2404637页

作者： Chen, An-Rong Parashar, Parag Sharma, Manish Kumar Shih, Jing-Siang Yeh, Hsuan-Yu Lin, Yen-Jui Kaswan, Kuldeep Fan, Kai-Po Chen, Po-Yu Lin, Zong-Hong Department of Materials Science and Engineering National Tsing Hua University Hsinchu30013 Taiwan Department of Biomedical Engineering National Taiwan University Taipei10617 Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu30013 Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan

In deserts, sedimentation from frequent dust activities on solar cells poses a substantial technical challenge, reducing efficiency and necessitating advanced cost-inefficient cleaning mechanisms. Herein, a novel sandfish scale-inspired self-healing fluorinated copolymer-based triboelectric layer is directly incorporated on top of the polysilicon solar cell for sustained hybrid energy harvesting. The transparent biomimetic layer, with distinctive saw-tooth microstructured morphology, exhibits ultra-low sand adhesion and high abrasion-resistant properties, inhibits sedimentation deposition on solar cells, and concurrently harvests kinetic energy from wind-driven sand particles through triboelectric nanogenerator (TENG). The film exhibits a low friction coefficient (0.149), minimal sand adhesion force (27 nN), and a small wear area (327 µm2). In addition, over 2 months, a solar cell with the sandfish scale-inspired structure demonstrates only a 16% decline in maximum power output compared to the bare solar cell, which experiences a 60% decline. Further, the sandfish scale-based TENG device's electrical output is fully restored to its original value after a 6-h self-healing cycle and maintains consistent stable outputs. These results highlight the exceptional advantages of employing biomimetic self-healing materials as robust triboelectric layers, showcasing sustained device stability and durability for prolonged use in harsh desert environments, ultimately contributing to a low cost-of-electricity generation paradigm. © 2024 Wiley-VCH GmbH.

关键词： Nanogenerators

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Common Spatial Pattern in Frequency Domain for Feature Extraction and Classification of Multichannel EEG Signals

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SN Computer science 2021年第3期2卷 1-11页

作者： Saha, Pritom Kumar Rahman, Md. Asadur Alam, Mohammad Khurshed Ferdowsi, Asma Mollah, Md. Nurunnabi Department of Biomedical Engineering Khulna University of Engineering and Technology (KUET) Khulna 9203 Bangladesh Department of Biomedical Engineering Military Institute of Science and Technology (MIST) Mirpur Cantonment Dhaka 1216 Bangladesh Department of Electrical and Electronic Engineering University Malaysia Pahang Gambang Malaysia Department of Pharmacology Sir Salimullah Medical College Dhaka Bangladesh Department of Electrical and Electronic Engineering Khulna University of Engineering and Technology (KUET) Khulna 9203 Bangladesh

The extraction methodology of the significant features from the signals is one of the most important pre-requisite steps for EEG signal classification. Common spatial pattern (CSP) is a widely used feature extraction method for EEG signal but with a lacking of failing to maintain discriminative features between classes in the time domain, and further as a consequence, ends up in inconvenience with erroneous output. To overcome the limitations of the convention CSP, this research work proposes a novel frequency domain CSP (FCSP) method for feature extraction. This method proposes to convert the time domain EEG signal to its power spectral density (PSD) so that the event-related variation can be found in the frequency domain. After that, the CSP method is applied to the PSD values of the selected channels to extract the variation based on the spatial pattern of the channels for the events. The output of this method helps to extract simple features from the FCSP-PSD data for the classification. The proposed method is applied to motor imagery data from BCI competition IV. To check the applicability of the proposed method, a complex environment was created considering the same lobe events such as combined left and right feet (Class#1) versus right-hand (Class#2) imagery movement. To compare the performance of the proposed work, the method is also applied to the conventional classification problem (left-hand vs right-hand imagery movement) and found very promising results of 91% accuracy on average. © 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Artificial neural network (ANN) Classification Common spatial pattern (CSP) Electroencephalography (EEG) Feature extraction Frequency domain common spatial pattern (FCSP) Power spectral density (PSD)

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Desialylated Platelet Clearance in the Liver is a Novel Mechanism of Systemic Immunosuppression

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Research 2024年第3期2023卷 35-50页

作者： June Li Danielle Karakas Feng Xue Yingyu Chen Guangheng Zhu Yeni H.Yucel Sonya A.MacParland Haibo Zhang John W.Semple John Freedman Qizhen Shi Heyu Ni Department of Laboratory Medicine and Pathobiology University of TorontoTorontoONCanada Toronto Platelet Immunobiology Group TorontoONCanada Keenan Research Centre for Biomedical Science of St.Michael's Hospital TorontoONCanada Canadian Blood Services Centre for Innovation TorontoONCanada Departments of Pediatrics Medical College of WisconsinMilwaukeeWIUSA Blood Research Institute Versiti WisconsinMilwaukeeWIUSA Departments of Ophthalmology and Vision Sciences Medicine University of TorontoTorontoONCanada Faculty of Engineering and Architectural Science Ryerson UniversityTorontoONCanada Multi-Organ Transplant Program Toronto General Hospital Research InstituteTorontoONCanada Department of Immunology University of TorontoTorontoONCanada Critical Care Medicine Department ofAnesthesiology and PainUniversity of TorontoTorontoONCanada Department of Physiology University of TorontoTorontoONCanada Department of Pharmacology University of TorontoTorontoONCanada. Division of Hematology and Transfusion Medicine Lund UniversityLundSweden clinical Immunology and Transfusion Medicine Ofice of Medical ServicesRegion SkaneLundSweden Department of Medicine University of TorontoTorontoONCanada Children's Research Institute Children's WisconsinWauwatosaWIUSA Midwest Athletes Against Childhood Cancer Fund Research Center MilwaukeeWIUSA.

Platelets are small, versatile blood cells that are critical for hemostasis/thrombosis. Local platelet accumulation is a known contributor to proinflammation in various disease states. However, the anti-inflammatory/immunosuppressive potential of platelets has been poorly explored. Here, we uncovered, unexpectedly, desialylated platelets (dPLTs) down-regulated immune responses against both platelet-associated and -independent antigen challenges. Utilizing multispectral photoacoustic tomography, we tracked dPLT trafficking to gut vasculature and an exclusive Kupffer cell-mediated dPLT clearance in the liver, a process that we identified to be synergistically dependent on platelet glycoprotein Ibα and hepatic Ashwell–Morell receptor. Mechanistically, Kupffer cell clearance of dPLT potentiated a systemic immunosuppressive state with increased anti-inflammatory cytokines and circulating CD4+ regulatory T cells, abolishable by Kupffer cell depletion. Last, in a clinically relevant model of hemophilia A, presensitization with dPLT attenuated anti-factor VIII antibody production after factor VIII ( infusion. As platelet desialylation commonly occurs in daily-aged and activated platelets, these findings open new avenues toward understanding immune homeostasis and potentiate the therapeutic potential of dPLT and engineered dPLT transfusions in controlling autoimmune and alloimmune diseases.

关键词： Platelet transfusion homeostasis

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The Role of Aldehyde-Functionalized Crosslinkers on the Property of Chitosan Hydrogels (vol 22, 2100477, 2022)

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MACROMOLECULAR BIOscience 2022年第10期22卷 2100477-2100477页

作者： Yeh, Ying-Yu Tsai, Yu-Ting Wu, Chun-Yu Tu, Ling-Hsien Bai, Meng-Yi Yeh, Yi-Cheun Institute of Polymer Science and Engineering National Taiwan University Taipei 10617 Taiwan Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei 10607 Taiwan Department of Chemistry National Taiwan Normal University Taipei 11677 Taiwan Biomedical Engineering Program Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei 10607 Taiwan Adjunct Appointment to the Department of Biomedical Engineering National Defense Medical Center Taipei 11490 Taiwan

Chitosan has been utilized as a popular biopolymer to fabricate hydrogels for biomedical applications. However, chitosan hydrogels are generally too brittle to mimic the deformability of the extracellular matrix in many tissues and organs. In particular, the role of the varied crosslinkers in determining the elasticity of chitosan hydrogels is lack of discussion. Here, three aldehyde-functionalized crosslinkers (i.e., aldehyde-modified poly(xylitol sebacate)-co-poly(ethylene glycol) (APP), glutaraldehyde (GA), and polydextran aldehyde (PDA)) are used to react with quaternized chitosan (QCS) through imine bonds to form hydrogels. The microstructures, mechanical performances, and cytocompatibility of the three hydrogels are systematically investigated. The APP/QCS hydrogels presented the best compressive and stretch properties among the three hydrogels. The mechanical property and antibacterial activity of APP/QCS hydrogels can be further modulated using varied QCS amounts, where more QCS contributed higher stiffness and stretchability as well as better bacterial inhibition to the APP/QCS hydrogels. Taken together, it is demonstrated that the inherent elastomeric characteristic of APP crosslinker provides the desirable elasticity and stretchability to QCS hydrogels compared to the other aldehyde-functionalized crosslinkers of GA and PDA. This strategy of using multivalent elastomeric crosslinkers to fabricate deformable chitosan hydrogels can expand the use of chitosan hydrogels in tissue engineering applications.

关键词： antibacterial property chitosan elasticity hydrogels stretchability

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Gastroenteropancreatic neuroendocrine neoplasms:current development,challenges,and clinic al perspectives

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军事医学研究（英文版） 2025年第4期12卷 579-599页

作者： Xian-Bin Zhang Yi-Bao Fan Rui Jing Mikiyas Amare Getu Wan-Ying Chen Wei Zhang Hong-Xia Dong Tikam Chand Dakal Akhtar Hayat Hua-Jun Cai Milad Ashrafizadeh A.M.Abd El-Aty Ahmet Hacimuftuoglu Peng Liu Tian-Feng Li Gautam Sethi Kwang Seok Ahn Yavuz Nuri Ertas Min-Jiang Chen Jian-Song Ji Li Ma Peng Gong Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics Carson International Cancer CenterShenzhen University General HospitalShenzhen UniversityShenzhen 518055GuangdongChina Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics Carson International Cancer CenterShenzhen University General HospitalShenzhen UniversityShenzhen 518055GuangdongChina School of Pharmacy Shenzhen University Medical SchoolShenzhen UniversityShenzhen 518060GuangdongChina Department of Radiology Second Hospital of Shandong UniversityJinan 250000China Department of Gastroenterology General Hospital of Chinese PLABeijing 100853China Department of Biotechnology Mohanlal Sukhadia UniversityUdaipurRajasthan 313001India Interdisciplinary Research Centre in Biomedical Materials(IRCBM) COMSATS University IslamabadLahore CampusLahore 54000Pakistan Department of Pharmacology Faculty of Veterinary MedicineCairo UniversityGiza 12211Egypt Department of Medical Pharmacology Medical FacultyAtaturk UniversityErzurum 25240Turkey Department of Medical Pharmacology Medical FacultyAtaturk UniversityErzurum 25240Turkey Reproductive Medicine Center Shenzhen Maternity&Child Healthcare HospitalSouthern Medical UniversityShenzhen 518055GuangdongChina Department of Pharmacology Yong Loo Lin School of MedicineNational University of SingaporeSingapore 117600Singapore Department of Science in Korean Medicine Kyung Hee UniversitySeoul 02447Republic of Korea ERNAM-Nanotechnology Research and Application Center Erciyes UniversityKayseri 38039Türkiye Department of Biomedical Engineering Erciyes UniversityKayseri 38280Türkiye UNAM-National Nanotechnology Research Center Bilkent UniversityAnkara 06800Türkiye Key Laboratory of Imaging Diagnosis and Mi

Neuroendocrine neoplasms(NENs)are highly heterogeneous and potentially malignant tumors arising from secretory cells of the neuroendocrine *** NENs(GEP-NENs)are the most common subtype of ***,GEP-NENs have been regarded as infrequent and slow-growing malignancies;however,recent data have demonstrated that the worldwide prevalence and incidence of GEP-NENs have increased exponentially over the last three *** addition,an increasing number of studies have proven that GEP-NENs result in a limited life *** findings suggested that the natural biology of GEP-NENs is more aggressive than commonly ***,there is an urgent need for advanced researches focusing on the diagnosis and management of patients with *** this review,we have summarized the limitations and recent advancements in our comprehension of the epidemiology,clinical presentations,pathology,molecular biology,diagnosis,and treatment of GEP-NETs to identify factors contributing to delays in diagnosis and timely treatment of these patients.

关键词： Gastroenteropancreatic neuroendocrine neoplasms(GEP-NENs) Neuroendocrine neoplasms(NENs) Diagnosis Chemotherapy Immunotherapy

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Monitoring Stress Level Through EDA by Using Convex Optimization 1

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1st International Conference on Electronics, biomedical engineering, and Health Informatics, ICEBEHI 2020

作者： Fajriaty, Nuzula Dwi Rahma, Osmalina Nur Putri, Yang Sa’ada Kamila Ariyansah Putra, Alfian Pramudita Rahmatillah, Akif Ain, Khusnul Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Biomedical Signals and Systems Research Group Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia

ISBN: (数字)9789813369269

ISBN: (纸本)9789813369252

This study designed an effective system for monitoring stress levels based on Electrodermal Activity (EDA) sensors by knowing the signal patterns and characteristics using convex optimization decomposition. The EDA sensor considered accurate and sensitive for identifying stress by analyzing the skin conductivity (SC) due to the changes in sympathetic nerve activity. However, the SC signal consists of phasic and tonic components, which needed to decompose to analyze stress levels. The SC signals also followed by the white Gaussian noise, which represents the error value. Hence, deconvolution is a crucial stage for the further process because the quality of the measurement depends on this result. This study aims to deconvolve the SC signal using the convex optimization method (cvxEDA). This model is physiology inspired by EDA based on Bayesian statistics, convex mathematical optimization, and sparsity. This research conducted with 18 subjects through three sessions of measurement. The given stimuli arise in each session to increase the level of stress. The results showed that this method could separate and identify SC. The Phasic component shows an increase in the stimulus of each session, as seen from the number of peaks. In contrast, there were no significant differences in the tonic component. This study shows that the phasic component is closely related to changes in sudomotor nerve activity (SMNA) and response to a stressor, which could be useful to classify stress levels in the future study. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convex optimization

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